The CBIT Advanced Award in Data Science (Level 7) is an accelerated, high-impact programme designed to provide the skills required to address immediate data challenges in today’s fast-paced, data-driven industries.
Combining theoretical rigour with real-world relevance, this programme is ideal for professionals seeking to upskill, transition into data-centric roles, or lead data initiatives with confidence.
Learners master advanced techniques in areas like deep learning, cloud computing, or applied statistics, empowering them to deliver actionable insights and drive innovation swiftly.
The CBIT Advanced Award in Data Science is BCS-accredited, meeting the high professional standards of BCS – The Chartered Institute for IT, and has received the prestigious BCS Tech10 Accreditation. As a BCS-recognised learner, you gain access to a range of professional advantages:
- Join a global network committed to excellence in technology and innovation.
- Gain recognition for meeting industry-aligned quality benchmarks in data science.
- Demonstrate your skills and achievements with an official digital badge for your CV and LinkedIn profile.
- Receive a certificate and record of module attainment from CBIT upon successful completion.
- Enhance your global employability and credibility in the fast-evolving tech industry.
Learners select two modules from a curated suite of Level 7 topics, tailoring their studies to align with career goals in domains such as AI-driven analytics, scalable data infrastructure, or predictive modelling.
The program generally takes three to four months, making it an excellent choice for anyone wishing to enhance their credentials and open new doors.
Aim of the Programme
The CBIT Advanced Suite in Data Science (Level 7) empowers learners to apply advanced data science methodologies to solve complex, high-stakes problems.
- Prepares learners to critically apply advanced methodologies and tools to extract actionable insights from complex datasets.
- Focuses on developing expertise in neural networks, scalable cloud architectures, and ethical data governance.
- Trains learners to address challenges in AI, big data, and cross-industry analytics.
- Builds technical and analytical proficiency to design innovative data solutions.
- Enables learners to lead data projects and influence decision-making across finance, healthcare, and technology sectors.
Who is it for?
The CBIT Advanced Suite in Data Science (Level 7) programmes caters to a diverse range of professionals aiming to elevate their data science skills and expertise.
- Ideal for experienced data professionals seeking to advance their knowledge and specialise further in the field.
- Suitable for IT and software professionals transitioning into data science roles to enhance career prospects.
- Beneficial for professionals across industries looking to leverage data for strategic advantage.
- Provides a comprehensive learning pathway to strengthen technical, analytical, and strategic capabilities in data science.
Why Study CBIT Advanced Award in Data Science (Level 7)
The CBIT Advanced Award in Data Science equips you with advanced skills in deep learning, time series analysis, cloud computing, data mining, applied statistics, and data visualisation.It is tailored for professionals needing targeted, high-level expertise without the commitment of a longer programme. By focusing on two advanced modules, learners gain immediate proficiency in areas like neural networks, statistical modelling, or cloud-based analytics, making them indispensable in roles demanding rapid innovation.
Upon completing this programme, you will be able to:
- Demonstrate advanced knowledge of data science principles and methodologies.
- Implement deep learning models and artificial neural networks for complex data tasks.
- Apply time series analysis techniques to real-world data sets.
- Utilise cloud computing resources for efficient data storage and processing.
- Perform data mining to extract valuable insights from large datasets.
- Conduct rigorous data analysis using applied statistical methods.
- Manage databases effectively and ensure data integrity.
- Create sophisticated data visualisations to communicate insights clearly.
Programme Benefits
- Develop a profound understanding of advanced data science principles and practices.
- Gain expertise in deep learning and artificial neural networks.
- Master the application of time series analysis in data analytics.
- Learn the essentials of cloud computing for scalable data processing and storage.
- Acquire skills in data mining and knowledge discovery to uncover hidden patterns.
- Enhance your proficiency in applied statistics for robust data analysis.
- Understand best practices in database and data management.
- Develop advanced skills in data analytics and visualisation.
Career Pathways
Learners who successfully complete the CBIT Advanced Award in Data Science may pursue various career paths, including but not limited to:
- AI/ML Specialist: Develop predictive models for automation and decision support.
- Senior Data Analyst: Lead advanced analytics projects in finance or healthcare.
- Business Intelligence Lead: Drive data-centric strategies for organisational growth.
Programme Level
The CBIT Advanced Award in Data Science is equivalent to Level 7. It equips learners with mastery-level expertise for executive roles or progression to postgraduate study.
CBIT adopts level descriptors that are consistent with those of other recognised awarding bodies and professional organisations. This approach clearly understands the depth of study and complexity associated with each certification level. Our modules are designed with precise learning outcomes and rigorous assessment criteria, ensuring that learners know what is expected of them. Additionally, these descriptors serve as helpful guides, highlighting the desired learning outcomes while allowing flexibility in the learning process.
Entry Criteria
There are no formal entry requirements to enrol in the CBIT Advanced Award in Data Science. However, CBIT expect learners to meet the following criteria.
- Learners should be 18 years of age or over.
- The CBIT Advanced Award is level 7 equivalent, and hence, the learners must be able to complete the programme at this level.
- Learners should have considerable competency in English.
Progression
CBIT programmes are designed to enhance learners' skills and knowledge. Upon successfully completing the CBIT Advanced Award in Data Science, learners may wish to continue their personal and professional development by exploring other CBIT programmes.
Assessment
All assessments are employer-driven, relevant, practitioner-based, and appropriate for business needs.
Assessments consist of a written assignment and a reflective report for each module, offering an excellent opportunity for in-depth learning. There are no exams involved.
To succeed, learners must thoroughly review the assignment brief and fully understand the requirements before beginning their work. This process not only enhances understanding but also encourages personal reflection and growth. Ultimately, this approach enriches the learning experience and helps learners develop essential skills for the future.
To achieve a ' Pass ' for each module, learners must satisfactorily meet all the requirements specified for the assessment criteria and fulfil all the learning outcomes.
Grading Criteria
Grading will be applied to each module as well as to the overall certification.
- Distinction (D) 70%+
- Merit (M) 60-69%
- Pass (P) 40-59%
- Fail (F) 0-39%
Duration
The average amount of time that the learners should contribute to complete the CBIT Advanced Award in Data Science is provided below:
- 160 hours of Total Programme Time (typically 3 to 4 months) is needed to study the programme.
- Learners should spend considerable time for completing assessments.
Other Courses in the CBIT Advanced Award in Data Science (Level 7)
If learners are interested in exploring other programmes within the CBIT Advanced in Data Science suite, please find them listed below. Choosing a programme that aligns with your career goals and aspirations can help you achieve the progression you desire.
- CBIT Advanced Certificate in Data Science (Level 7)
- CBIT Advanced Diploma in Data Science (Level 7)
Learners may choose any 2 modules, with a maximum of 160 hours of Total Programme Time (TPT).
Module : Principles of Data Science
Module code: CBIT- ADS -701
The module aims to provide learners with a solid theoretical foundation in the core concepts and methodologies of data science. Learners will gain insights into data collection, processing, analysis, and interpretation, using modern data science tools and techniques. The module will focus on understanding large-scale data processing methods, statistical analysis, machine learning, and data visualisation, while introducing learners to real-world applications of these principles.Module : Deep Learning and Artificial Neural Networks
Module code: CBIT- ADS -702
This module aims to introduce learners to the theoretical foundations and key concepts of deep learning and artificial neural networks. It will cover the structure, functioning, and learning mechanisms of neural networks, as well as their application in solving complex data science problems. Learners will gain an understanding of the theoretical aspects of deep learning models, including optimisation techniques and regularisation methods, focusing on practical examples to illustrate how these models are applied in various domains.Module : Data Analytics and Visualisation
Module code: CBIT- ADS -703
This module aims to equip learners with advanced knowledge of data analytics and visualisation techniques. The focus is on understanding how data is transformed into insights that drive decision-making across industries. Learners will explore a range of data analysis methods, gain knowledge on data cleaning and preparation, and critically evaluate various visualisation tools. By the end of the module, learners will be able to communicate data findings effectively using theoretically grounded approaches.Module : Databases and Data Management
Module code: CBIT- ADS -704
This module aims is to provide learners with an in-depth understanding of database systems, focusing on the theoretical concepts behind relational databases and data management. The module explores the principles of database design, data modelling, data security, and database administration, preparing learners to apply these concepts in real-world data management scenarios.Module : Cloud Computing
Module code: CBIT- ADS -705
The aim of this module is to provide learners with a deep understanding of cloud computing’s core concepts, including infrastructure, security, and scalability. Learners will develop theoretical knowledge of cloud architecture, virtualisation technologies, and cloud-based application deployment, gaining insights into the strategic role cloud computing plays in modern data science.Module : Applied Statistics
Module code: CBIT- ADS -706
To provide learners with a deep theoretical understanding of key statistical concepts and methods applied in data science. This module covers probability, statistical modelling, and inferential statistics, equipping learners to critically analyse and interpret data. The focus is on translating complex real-world issues into statistical frameworks and understanding the theoretical underpinnings of statistical methodologies in data science.Module : Applied Time Series Analysis in Data Analytics
Module code: CBIT- ADS -707
This module provides learners with an in-depth understanding of theoretical frameworks and statistical techniques for analysing time series data. Emphasis is placed on identifying trends and seasonality, exploring stationarity and autocorrelation properties, and understanding probability models and spectral analysis methods. The module equips learners to critically evaluate time series models and interpret multivariate time series data within the context of data analytics.Module : Data Mining and Knowledge Discovery
Module code: CBIT- ADS -708
This module provides learners with a comprehensive theoretical understanding of data mining techniques and their application in transforming raw data into actionable insights. It emphasizes conceptual and algorithmic approaches to handling complex, unstructured, and semi-structured data, fostering a critical understanding of feature extraction, pattern recognition, and knowledge discovery in diverse domains.The programme is offered online through CBIT, creating a dynamic learning experience tailored to fit the unique lifestyles of each learner. With our flexible learning approach, individuals can engage fully in their studies from any location and at a pace that aligns with their personal needs and preferences. This adaptability fosters a more enriching educational journey.
The programme is also available through CBIT-approved partner centres. To learn more about our partner centres, reach out to us directly. We will help you find an approved partner centre that is conveniently located for you.
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- Duration
Typically, 3 to 4 months - Support Period
6 Months - Study mode
Online at CBIT or through a partner centre - Certificate
CBIT Certificate on completion - Dedicated, expert tutors
Unlimited Tutor Support - Support team
Dedicated student support team - Learning Resources
Structured Learning Resources - Assessment feedback
Comprehensive assessment feedback to improve learning. - Access to MyBCS
On completing get access to MyBCS, and use CPD tools to develop PDP - BCS Membership
20% discount on BCS membership with opportunities towards Chartered IT status - BCS Digital Badge
Receive a BCS digital badge to showcase on your CV and LinkedIn on successful completion